多引力中心型知识网络的决策信息交互融合方法

发布时间：2018-01-25 00:08

本文关键词： 知识网络多引力中心型知识网络主观决策信息交互式融合方法　出处：《昆明理工大学》2017年硕士论文　论文类型：学位论文

【摘要】：知识网络是研究知识关联关系、探索知识发展脉络、追踪知识创新趋势的有效途径,因此掌握知识发展脉络发展方向,提取并融合知识主体的完备信息对企业发展和决策至关重要。随着全球市场竞争的日益激烈,企业仅仅依靠自身很难在国际市场中占有立足之地,往往选择和有相同策略目标的其他企业结成联盟,通过自主性地互补性资源交换,获得长期的市场竞争优势。对于联盟企业而言,提升企业知识(信息)整合能力,优化企业之间资源配置,得到使整体最优的决策至关重要,但难度也可想而知。在众多企业组成的联盟中,企业往往依靠企业内优秀人才(决策专家)根据企业内部和外部的资源现状,专家凭借自己的渊博的知识、丰富的经验和敏锐的直觉给出自己的主观判断和决策建议,即主观决策信息。但由于主观决策信息的局限性,联盟企业想要获得高效能的决策十分困难。有鉴于此,为适应现代社会经济发展需要,提高不同性质、结构的企业之间的知识的融合效果,为企业目标的决策提供科学有效的参考,本文构建了符合企业联盟特征的多引力中心型知识网络的结构模型。多引力中心型知识网络是知识网络的一种组织结构,能够很好地描述联盟企业的性质特征,并能为主观决策信息的提取提供平台和渠道。在此基础上,从物理实现层、知识运作层、环境条件层给出了多引力中心型知识网络在引力机制作用下的平台信息提取模型,有效地将系统内主观决策信息根据决策步骤有效地提取出来,尽最大可能地保障主观决策信息的完备性。最后,通过证据理论相关概念,将主观决策信息转换为动态知识矩阵,并通过BPA函数实现主观决策信息到客观信息的转换过程。在进行信息融合过程中,采用动态交互式决策方法,使决策结果和决策专家之间不断地交互、反馈,通过不断修正备选方案,最终得到符合阈值条件的主观决策信息,为企业联盟系统应对既定目标提供有效的、科学的决策依据。
[Abstract]:Knowledge network is an effective way to study the relationship between knowledge, explore the context of knowledge development and track the trend of knowledge innovation. Extracting and integrating the complete information of knowledge subject is very important for the development and decision-making of enterprises. With the increasingly fierce competition in the global market, it is very difficult for enterprises to take a foothold in the international market only on their own. They often choose to form alliances with other enterprises with the same strategic objectives and gain long-term market competitive advantages through autonomous complementary exchange of resources. It is very important to improve the ability of enterprise knowledge (information) integration, optimize the allocation of resources among enterprises, and get the overall optimal decision, but the difficulty can also be imagined. In the alliance of many enterprises. Enterprises often rely on outstanding talents (decision experts) according to the status of internal and external resources, experts rely on their own profound knowledge. Rich experience and keen intuition give their own subjective judgment and decision-making advice, that is, subjective decision-making information, but due to the limitations of subjective decision-making information. The alliance enterprise wants to obtain the high efficiency decision-making very difficult, therefore, in order to adapt to the modern society economic development need, enhances the different nature, the structure enterprise knowledge fusion effect. It provides a scientific and effective reference for the decision-making of enterprise objectives. In this paper, we construct a structural model of multi-gravity center knowledge network, which is a kind of organization structure of knowledge network, which can describe the nature of alliance enterprise well. And can provide a platform and channel for the extraction of subjective decision-making information. On this basis, from the physical realization layer, knowledge operation layer. In the environmental condition layer, the platform information extraction model of multi-gravity center knowledge network under the action of gravity mechanism is given, and the subjective decision information in the system is effectively extracted according to the decision steps. As far as possible to ensure the completeness of subjective decision-making information. Finally, through the relevant concepts of evidence theory, the subjective decision information is transformed into dynamic knowledge matrix. In the process of information fusion, dynamic interactive decision-making method is used to make the decision result and decision expert interact continuously. Feedback, by constantly revising the alternatives, finally obtains the subjective decision information that meets the threshold condition, which provides an effective and scientific basis for the enterprise alliance system to deal with the established goals.
【学位授予单位】：昆明理工大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：F272

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